Add Api Key To .env File

🚀 Simplest MCP Project

This project implements the smallest MCP project, aiming to help understand the operating mechanism of the entire MCP system.

This project uses DeepSeek's API key. Please add your API key to the .env file.

If you choose other LLM services (such as OpenAI or other models supporting MCP services), please add the corresponding API_KEY to the .env file.

🚀 Quick Start

📁 File Structure

├── .env
├── .gitignore
├── client/client.py
├── client/server.json
├── server/tasklist.py
|── pyproject.toml
|── tasks.csv   
|── README.md

💻 Create a Virtual Environment

uv venv

# Activate the virtual environment

# On Windows:
.venv\Scripts\activate

# On Unix or macOS:
source .venv/bin/activate

📦 Installation

## Access the API using the OpenAI format
uv add mcp openai python-dotenv

📄 Create a .env File

touch .env

🔑 Add API Keys to the .env File

echo "OPENAI_API_KEY=your_api_key" >> .env
echo "OPENAI_BASE_URL="https://api.deepseek.com/v1"" >> .env
echo "OPENAI_MODEL="deepseek-chat" >> .env

📝 Edit the server.json File to Specify MCP-Server Configuration

{
    "servers": [
      {
        "command": "uv",
        "args": ["run","../server/tasklist.py"],
        "env": null
      },
      {
        "command": "uv",
        "args": ["run","../server/weather.py"],
        "env": null
      },
      {
        "command": "npx",
        "args": ["-y","../server/stock.js"],
        "env": null
      }
    ]
  }

▶️ Run the MCP-Demo

cd client
uv run client.py server.json

Then you can input user queries.